1. Hand-feel soil texture classes and particle-size distribution as predictors of soil water content at field capacity. Further insights into the sources of uncertainty.
- Author
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Richer-de-Forges, Anne C., Chen, Songchao, Arrouays, Dominique, Bourennane, Hocine, and Minasny, Budiman
- Subjects
- *
SOIL moisture , *SOIL texture , *SILT , *SOILS , *CLAY - Abstract
• Hand-feel soil texture classes used as predictors in a pedotransfer function. • Clay and silt content simulated from distributions by hand-feel texture class. • Confusion in hand-feel texture class allocation is considered. • Confusion in hand-feel texture classes propagated to uncertainty in the prediction. Pedotransfer functions (PTFs) are increasingly being used to derive difficult-to-measure or cost prohibitive soil properties from more readily available soil data. Soil texture (ST) is one of the most commonly used predictors in PTFs. Soil texture can be determined in the laboratory or estimated manually by soil surveyors in the field. Soil texture classes are sometimes used either for producing class PTFs or to generate distributions of clay, silt and sand. Here, we develop a method to assess the uncertainty due to the confusion or error in hand-feel soil texture (HFST) classes allocation. We show that this error does not have a large impact on the coefficients of the linear regressions used to calibrate the PTFs. However, they may have a large impact on PTFs prediction performances. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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